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Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction
We introduce mixed LICORS, an algorithm for learning nonlinear, high-dimensional dynamics from spatio-temporal data, suitable for both prediction and simulation. Mixed LICORS extends the recent LICORS algorithm (Goerg and Shalizi, 2012) from hard clustering of predictive distributions to a non-param...
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| Pubblicato in: | JMLR Workshop Conf Proc |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4537072/ https://ncbi.nlm.nih.gov/pubmed/26279743 |
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